Ziyue Qiao is currently a tenure-track Assistant Professor at the School of Computing and Information Technology at Great Bay University. Previously, he served as a Postdoctoral Researcher at The Hong Kong University of Science and Technology (Guangzhou) under the supervision of Professor Hui Xiong, an IEEE and AAAS Fellow. He earned his Ph.D. in 2022 from the Computer Network Information Center, University of Chinese Academy of Sciences, where he was advised by Professor Yuanchun Zhou and Professor Yi Du. In 2021, he gained industrial experience as a Research Intern at the City Brain Lab, DAMO Academy, Alibaba. He received his B.E. degree in 2017 from the School of Computing at Wuhan University, supervised by Professor Lefei Zhang.
🔈: I am actively seeking Postdocs, Research Assistants, and Visiting Students. Please feel free to contact me!
🔈: 我正在积极寻找博士后、研究助理和访问学生。请随时联系我！
Research interests
His research interests encompass Data Mining, Graph Machine Learning, and Knowledge Graph. His previous work has primarily focused on the following areas:
Graph Learning
- Graph neural network
- Semi-supervised Learning
- Self-supervised Learning
- Data-centric Learning
Transfer Learning
- Pre-training & Fine-tuning
- Prompt Learning
- Out-of-distribution Learning
- Continual Learning
AI for Academic Community
- Academic Knowledge Graph
- Scholar Name Disambiguation
- Proposal Review Assignment
- Academic Pre-trained Model
Recently, His primary research area has been Model-efficient Machine Learning. The goal is to minimize the need for training new models, instead reusing/fine-tuning existing models or leveraging foundation models/large language models for various machine learning tasks. The focus is on utilization maximization and sustainability of models/knowledge through techniques such as transfer learning, continual learning, data-centric learning. He has a special interest in applying these objectives in the field of graph machine learning.
Awards
- Best Ranked Papers of IEEE International Conference on Data Mining 2022
- Gold Medal of Biendata Competition “OAG–WhoIsWho track 1” 2019 (1st Place/131 teams)
- Beijing Outstanding Graduates Award in Beijing, China (Top 5%)
- Presidential Scholarship at Chinese Academy of Sciences (Top 1%)
- China Scholarship Council Scholarship for joint PhD students
- National Scholarship (the most prestigious scholarship in China) (Top 2%)
- Student Travel Award of IEEE International Conference on Big Data 2019
Academic Sevices
- Area Co-chair of IC 2024
- Organizing Committee of CIKM 2024 DCAI workshop
- Session Chair of “Mining Graphs” for IJCAI 2023 Macau
- PC Member/Conference Reviewer: IJCAI 2023, KDD 2023, CIKM 2023, NeurIPS 2023, NeurIPS 2023 Track Datasets and Benchmarks, SDM 2024, WSDM 2024, AAAI 2024, WWW 2024, ICLR 2024, MM 2024, IJCAI 2024, KDD 2024, NeurIPS 2024, NeurIPS 2024 Track Datasets and Benchmarks, AAAI 2025, WSDM 2025, ICLR 2025, WWW 2025, KDD 2025
- Journal Reviewer: IEEE TPAMI, IEEE TNNLS, ACM TKDD, ACM TALLIP, IEEE TLT, Neural Networks, Neurocomputing
Teaching
- [2024 Fall] SCIT-Generative Artificial Intelligence (Instructor: Ziyue Qiao, Guangcong Wang)
Students (On-campus)
- 邱浩淼 Ph.D. student, co-supervised with Professor Miao Zhang from Harbin Institute of Technology (Shenzhen)
- 曾宇杰 Master’s student, co-supervised with Professor Xu Wang from Shenzhen University
- 陈骏 Master’s student, co-supervised with Professor Qin Zhang from Shenzhen University
- 顾嘉伟 Visiting student, from Nanjing University of Science and Technology
- 王一迪 Research Assistant, from Huazhong University of Science and Technology
- 谢辉 Research Assistant, from South China University of Technology
- 于小敏 Former visiting student, will enroll at Hong Kong University of Science and Technology (Guangzhou)